tf.summary.write
Writes a generic summary to the default SummaryWriter if one exists.
tf.summary.write(
tag, tensor, step=None, metadata=None, name=None
)
This exists primarily to support the definition of type-specific summary ops like scalar() and image(), and is not intended for direct use unless defining a new type-specific summary op.
| Args | |
|---|---|
tag | string tag used to identify the summary (e.g. in TensorBoard), usually generated with tf.summary.summary_scope |
tensor | the Tensor holding the summary data to write or a callable that returns this Tensor. If a callable is passed, it will only be called when a default SummaryWriter exists and the recording condition specified by record_if() is met. |
step | Explicit int64-castable monotonic step value for this summary. If omitted, this defaults to tf.summary.experimental.get_step(), which must not be None. |
metadata | Optional SummaryMetadata, as a proto or serialized bytes |
name | Optional string name for this op. |
| Returns | |
|---|---|
| True on success, or false if no summary was written because no default summary writer was available. |
| Raises | |
|---|---|
ValueError | if a default writer exists, but no step was provided and tf.summary.experimental.get_step() is None. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/summary/write